Adaptive-filtering target tracking and positioning method based on embedded platform

Abstract

The invention discloses an adaptive-filtering target tracking and positioning method based on an embedded platform, comprising the following steps: (1) obtaining observation data of geographical position of a target aircraft at preset time by the data bus of the Advanced RISC Machine (ARM) embedded platform; (2) performing modeling according to the observation data of geographical position in three-order Lagrange's series in the three-dimensional space motion by a motion modeling module; (3) performing residual data processing for the error value output by the motion modeling module by an information extracting module; (4) performing parameter optimizing for the gain matrix according to the evaluated key parameter of the noise space obtained by the information extracting module; (5) obtaining the filtering data at preset time by an iterative filtering module; and (6) performing coordinate system of the filtering data and outputting the data by an output interface module. The adaptive-filtering target tracking and positioning method of the invention achieves high-stability and performance optimization when keeping low computation complex degree and less resource occupation of a core processor.

Description

technical field [0001] The invention relates to a tracking and positioning method, in particular to an adaptive filtering target tracking and positioning method based on an embedded platform. Background technique [0002] In the air traffic control system, ADS-B (Automatic Dependent Surveillance-Broadcast) is an important part of the air-air data link and air-ground data link, and it is also an important means to reflect the air traffic situation and ensure flight safety. With the country's great investment in the aviation industry, the development of various technologies in the field of ADS-B (Automatic Dependent Surveillance-Broadcast) with independent intellectual property rights has become an important task for all relevant research institutions in China at present and in the next few years. In this field, the adaptive filtering target tracking and positioning technology is the key. The rational use of this technology helps to filter out the observation noise in the geog...

AI Technical Summary

Problems solved by technology

At present, the research and application of domestic adaptive filter target tracking and positioning technology in the field of ADS-B (Automatic Dependent Surveillance-Broadcast) is still in the initial stage, while the research and application of foreign related fields are mainly concentrated on the core algorithm based on Kalman filter In fact, although it can achieve better convergence characteristics and smaller residual variance, the computational complexity is high, and a large number of matrix operations are required in the algorithm implementation process (even if the general approximation algorithm in the industry is used, the algorithm complexity is also very high. Considerable), which undoubtedly brings great challenges to real-time performance, cost and power consumption

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